Renal Anomalies through Ultrasound Imaging and Segmentation Techniques

In present days, the recent encroachment in the medicinal field and abnormality detection methodologies mutually by instrumentation also clinical methods has reached to a height in such a way that the clinical physicians are able to give an appropriate warning for the early detection of any disease and cure. This is widely applied in detecting abnormality of vital organs like kidney, heart, liver, gallbladder, etc. In this proposed work, the detection of prominent abnormalities in kidneys using US scanned images is analyzed using segmentation technique for feature extraction. The extracted features are saved as .csv file in which the significant Max intensity features exceeds threshold value detected as abnormal (cyst, calculi, tumor) image otherwise normal.